AI Dental Machining Parameters for Blank-Specific Tool Trajectories
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Solution Overview
Problem
Current dental machining systems require extensive and labor-intensive testing to determine process parameters for different types of dental blanks, tools, and operating conditions, making the process time-consuming and inefficient.
Innovation Solution
The implementation of an AI-driven dental machining system that uses a neural network to generate process parameters based on the type of dental blank, desired quality, and security level, and adapts in real-time to tool wear and dynamics, reducing the need for manual parameter definition and simplifying the testing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If empirical testing methods are used to determine process parameters for different dental blanks and operating conditions, then reliable process parameters can be obtained, but the process becomes extremely time-consuming and labor-intensive
Solution Approach 1:
The system performs preliminary characterization of dental blank types and stores their properties in a database beforehand. When machining is required, the pre-stored blank type information is retrieved and used to automatically select appropriate process parameters, eliminating the need for real-time empirical testing and significantly reducing the time required.
Solution Approach 2:
The system creates a digital model (copy) of the physical dental blank by scanning it and storing its characteristics in a database. This digital copy contains all necessary information about the blank type, allowing the system to determine process parameters from the digital representation without requiring physical testing of each individual blank.
2Manufacturing precision
If manual definition of process parameters is performed for each dental blank type and quality level, then precise control over machining quality and security can be achieved, but the complexity and effort increase significantly
Solution Approach 1:
The system automatically determines process parameters by itself based on the retrieved dental blank type information from the database. The control unit autonomously selects appropriate parameters for machining speed, feed rate, and tool selection without requiring manual intervention or complex user configuration, thereby maintaining precision while reducing operational complexity.
Solution Approach 2:
The system automatically adjusts machining parameters such as rotational speed, feed rate, and depth of cut based on the specific dental blank type retrieved from the database. Different blank types trigger different parameter sets, allowing the system to optimize for each material while presenting a simplified interface to the user.
3Reliability
If extensive testing series are conducted for new dental blank types and tool machines, then accurate process parameters can be established, but the adaptability and time-to-market are reduced
Solution Approach 1:
The system performs preliminary characterization of dental blank types and stores their properties in a database beforehand. When machining is required, the pre-stored blank type information is retrieved and used to automatically select appropriate process parameters, eliminating the need for real-time empirical testing and significantly reducing the time required.
Solution Approach 2:
The database stores standardized information about multiple dental blank types and their machining characteristics. This universal database structure allows the system to handle various new blank types by matching them against stored profiles, enabling quick adaptation to new materials without requiring extensive retesting for each individual case.
Data Source
Figure 1
AI summary
The present invention relates to a dental machining system for manufacturing a dental restoration, comprising: a dental tool machine (1) which comprises: a dental blank holder for holding one or more dental blanks (2) relatively movable with respect to one or more dental tools (3); one or more driving units (4) each for movably holding at least one dental tool (3) for machining the dental blanks (2); a determination unit for determining the type of each dental blank (2); an adjustment means for allowing the user to adjust the machining time, a level of quality of the dental restoration, and a level of security of the dental restoration and dental tool (3) against machining damage; characterized by further comprising: a control unit which is further adapted to execute a trained artificial intelligence algorithm adapted to generate process parameters for the machining based on the type of the dental blank (2), the machining time, the level of quality of the dental restoration, and the level of security of the dental restoration and dental tool (3) against machining damage, to calculate the temporal trajectory of the dental tool (3) for the machining based on construction data of the dental restoration and the generated process parameters, and to control the dental blank holder and the driving units (4) based on the calculated temporal trajectory.